Platform Engineer

Platform Engineering (Dev Ops) Engineer

Platform (aka Dev Ops) Engineers provide production support, production monitoring, CI/CD design and implementation, security automation, and AI/ML infrastructure management across the open‑source software platforms that CTDS develops and operates for translational data science. Production support includes triaging, researching, communicating, and addressing production incidents. For monitoring, staff wrangle disparate system monitoring assets and develop common analytics to inform optimization, define benchmarks, confidence intervals, and forecast production incidents to proactively mitigate them.

CI/CD pipelines are for hybrid cloud architecture on‑premises and in commercial cloud providers like Amazon, Google, and Microsoft. Additionally, the position is responsible for AI/ML research infrastructure, managing and optimizing on‑premises GPU resources and AWS cloud services such as Bedrock and Sage Maker. Responsibilities include deploying, monitoring, and maintaining machine learning models for inference, optimizing model and hardware performance, troubleshooting AI/ML solutions, and integrating them within the broader application environment to support research and production workflows.

• Design and implement top priority technical tasks and deliver them in a timely manner while maintaining defined quality levels.
• Participate in complex and challenging activities, including design and implementation.
• Lead a scope of significant size critical to the team’s success.
• Provide technical leadership and mentor interns and less experienced members.
• Actively participate in the hiring process and provide fair and productive interview feedback.
• Negotiate complex decisions, present options and persuasively advocate for optimal technical solutions internally and externally.
• Utilize technical knowledge of existing and emerging technologies, including public cloud offerings from Amazon Web Services, Microsoft Azure, and Google Cloud.
• Act as a technical consultant and resource for faculty research, teaching, and administrative projects.
• Perform other related work as needed.

• Education:
  
  Minimum requires a college or university degree in a related field.
• Work Experience:
  
  Minimum requires 5‑7 years of related work experience.
• Certifications:
  
  Not specified.

• Advanced degree in computer science, mathematics, statistics, engineering, or a relevant quantitative field strongly preferred.
• 6+ years professional experience as a system or Dev Ops engineer or demonstrated skills and qualifications through projects, initiatives, or outstanding performance.
• Hands‑on scripting experience (Bash, Python, or other dynamic language).
• Unix/Linux programming or system administration experience.
• Experience with Open Stack and AWS (EC2/S3) cloud technologies.
• Experience with configuration management utilities (Chef, Puppet, Ansible).
• Experience with load balancing technologies (F5, Nginx, AWS ELB/ALB, etc.).
• Experience with source control and build systems (SVN, Git, Jenkins, etc.).
• Experience with container‑based deployment (Docker, Kubernetes).
• Experience with log aggregation tools (ELK stack, Splunk).
• Experience with security frameworks (FISMA, NIST, FIPS).
• Experience with cloud platforms (AWS, GCP, Open Stack), CI/CD, and Agile methodologies.
• Experience leading Dev Ops initiatives and process improvement.
• Experience with deploying, maintaining, and monitoring AI/ML models and infrastructure.

• Ability to collaborate with team members and define guidelines and best practices.
• Ability to take and provide constructive feedback on technical issues.
• Ability to negotiate complex decisions, present options and persuasively advocate for optimal technical solutions internally and externally.
• In‑depth knowledge in major technical areas of Dev Ops technology scope.
• Subject‑matter expert of most Dev Ops technology and solutions.
• Ability to break complex tasks into smaller ones, estimate effort, prioritize, and ensure completion of each task.
• Ability to work collaboratively in a team and ensure accountability for deliverables.
• Ability to prioritize and manage workload to meet project milestones and deadlines.

The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.

Job seekers in need of a reasonable accommodation to complete the application process should call 773‑702‑5800 or submit a request via Applicant Inquiry Form.